Data structures for categorizing and filtering content

ABSTRACT

Methods, systems, and computer program products are included for categorizing and filtering content. A comment is stored in one or more data structures. The one or more data structures are modified to associate the comment with a tag and a password. The amount of comments that are associated with the tag are determined and compared with a threshold amount of comments. Based on the amount of comments exceeding the threshold, access is restricted to the comments that are associated with the tag.

BACKGROUND Field of the Invention

The present disclosure generally relates to data processing performed onnetworked computing devices. In particular, the present disclosurerelates to methods and systems for categorizing and filtering contentthat is transmitted to computing devices.

RELATED ART

Conventional data processing techniques allow users to post content toother users. For example, users may post comments, articles, and othercontent to social media sites, online bulletin boards, news sites, andso forth. Some content may be more desirable to users than othercontent. While traditional online content filtering techniques have beengenerally adequate for filtering some content, limitations still remain.For example, with traditional filtering techniques, users may stillreceive content that is unwanted. Therefore, a need exists to furtherimprove content filtering.

BRIEF DESCRIPTION OF THE DRAWINGS

The present invention is illustrated by way of example and notlimitation in the figures of the accompanying drawings.

FIG. 1 is a block diagram illustrating a content categorizing andfiltering system architecture, in accordance with various examples ofthe present disclosure.

FIG. 2 is a block diagram illustrating a computer system suitable forimplementing one or more computing devices.

FIG. 3A is a data structure diagram illustrating a data structure forassociating data corresponding to comments, tags, and passwords, inaccordance with various examples of the present disclosure.

FIG. 3B is a data structure diagram illustrating a data structure forassociating data corresponding to comments, tags, and passwords, inaccordance with various examples of the present disclosure.

FIG. 4 is a data structure diagram illustrating a data structure forassociating data corresponding to comments, tags, and passwords, inaccordance with various examples of the present disclosure.

FIG. 5 is a data structure diagram illustrating a data structure forcategorizing content, in accordance with various examples of the presentdisclosure.

FIG. 6 is a flow diagram illustrating categorizing of content, inaccordance with various examples of the present disclosure.

FIG. 7 is a flow diagram illustrating filtering of tagged content, inaccordance with various examples of the present disclosure.

FIG. 8 is a flow diagram illustrating categorizing and filtering ofcontent, in accordance with various examples of the present disclosure.

DETAILED DESCRIPTION

In the following description, specific details are set forth describingsome embodiments consistent with the present disclosure. It will beapparent, however, to one skilled in the art that some embodiments maybe practiced without some or all of these specific details. The specificembodiments disclosed herein are meant to be illustrative but notlimiting. One skilled in the art may realize other elements that,although not specifically described here, are within the scope and thespirit of this disclosure. In addition, to avoid unnecessary repetition,one or more features shown and described in association with oneembodiment may be incorporated into other embodiments unlessspecifically described otherwise or if the one or more features wouldmake an embodiment non-functional.

According to the various aspects of the present disclosure, a method,system, and computer program product are discussed that allow forcategorizing and filtering content. In some examples, a user may includea tag and a password in a comment that is posted to a social networkingsite. Other comments, such as responses to the comment, may be posted bythe same user or other users that also include the tag. When an amountof comments that include that tag reaches a threshold, access may berestricted to users that provide the password. Accordingly, populardiscussions may be identified and monetized. For example, a site maycharge fees to users for accessing the popular content.

According to the various aspects of the present disclosure, a method,system, and computer program product are discussed that provide commentfiltering based on the tags, such as by performing searches usingkeywords and matching the keywords to tags. Tags may be displayed withadditional information, such as the amount of comments that include thetag and prices to access the comments associated with the tag. Users mayselect a tag and be provided with a payment interface to purchase accessto the password corresponding to the comments associated with the tag.After a payment indicator is received, the password is provided so thata user may access the comments.

According to the various aspects of the present disclosure, a method,system, and computer program product are discussed for packaging one ormore content data structures into a content payload. Each content datastructure in the content payload may be associated with a tag. Thecontent payload may be transmitted to client computing devices. Eachclient computing device may have client information that indicatesclient preferences. These preferences are matched to the tags in thecontent payload to determine appropriate content for each client. Forexample, client information may include a client location. A contentdata structure may include a tag that matches the user location.Accordingly, upon determining that the tag is a match, content may bepresented corresponding to a particular content data structure of thecontent payload.

Various aspects of the present disclosure may provide advantages overconventional content filtering techniques. For instance, users maybenefit by the ability to charge other users fees for accessing theircomments. Users may also benefit by filtering the comments based on thetags to customize the content that is presented. Further, packagedcontent may be delivered to a plurality of users and filtered for eachuser to enhance the users' experience with the content.

FIG. 1 illustrates a content categorizing and filtering systemarchitecture 100, in accordance with various examples of the presentdisclosure. System architecture 100 includes a server 102, a client A104, and a client B 106. The server 102, client A 104, and client B 106are each structured as a computing device. A computing device mayinclude, for example, a rack mount server, desktop computer, laptopcomputer, tablet, smart phone, or other computing device.

While in the present example a single server and two clients areillustrated, in other examples there may be additional servers andclients. Further, servers and clients may each comprise a plurality ofcomputing devices. For example, the server 102 may include a cluster ofserver computing devices. In addition, the computing devices may bestructured in other configurations besides client/server. For example,the computing devices may be structured as peers in a peer-to-peernetwork.

In the present example, the server 102, client A 104, and client B 106are communicatively coupled via a network 108. The network 108 mayinclude any combination of public and/or private networks. The network108 may include one or more network devices that are communicativelycoupled via transport media to communicate signals between the server102, client A 104, and/or client B 106. In some examples, networkdevices include routers, hubs, switches, and so forth. In some examples,transport media include Ethernet cable, Fibre Channel Cable, wirelesssignals, and so forth. The server 102, client A 104, and client B 106may each include a network interface component (e.g., network interfacecomponents 110, 112, and 114) that is structured to communicativelycouple the computing devices to the network 108. A network interfacecomponent may include, for example, a network interface card or otherhardware and/or software component that allows a computing device toconnect to the network 108.

In the present example, the server 102 includes a content processingcomponent 116. In some examples, the content processing component 116 isstructured to receive content from the browser/content processingcomponents 122 and 124 of client A 104 and client B 106, respectively.For example, content processing component 116 may receive content suchas comments corresponding to social networking activities, articles,news postings, and so forth. The content processing component 116 isalso structured to associate information with the content. In someexamples, the information includes tags and passwords corresponding tothe content.

In the present example, the content processing component 116 isstructured to store the content and information corresponding to thecontent in a data store 118. In some examples, the data store 118 isstructured to store one or more content data structures 120, which mayinclude all or portions of relational databases, flat files, webservices, and so forth. These content data structures 120 may behomogenous or heterogeneous (e.g., a first content data structure may bean SQL-compliant database and a second content data structure may be aweb service). In some examples, the content data structures 120 arestructured as rows and columns of a relational database. In otherexamples, the content data structures 120 are structured as text in aflat file that includes markup to structure the content. For example,special characters, delimiters, and/or other data (e.g., XML markup) maybe included in the text to structure the content. In yet other examples,the content data structures 120 may include one or more classes and/orobjects that are structured to store content such as comments, articles,reviews, and so forth. In addition, the content data structures 120 mayassociate information such as tags and/or passwords with the content,such that the content may be categorized and filtered. Some examples ofparticular data structures that may be included in the data store 118are illustrated and described with respect to FIGS. 3A, 3B, 4, and 5.

Content processing component 116 is structured to filter content storedin the data store 118, such that filtered information may be retrievedfrom the data store 118 and transmitted to client A 104 and/or client B106 via the network interface component 110 and network 108. Someexamples of techniques for filtering content and providing the contentto clients are illustrated and described with respect to FIGS. 6, 7, and8.

Turning now to client A 104 and client B 106, each client is structuredwith a browser and/or other content processing component (e.g.,browser/content processing components 122 and 124). In some examples,each browser/content processing component 122 and 124 is structured as aweb browser or other application that may input data from a user and/orpresent data to a user via a display. In some examples, eachbrowser/content processing component 122 and 124 is structured todisplay comments, input search queries corresponding to comments, selecttags corresponding to comments, input payment information, receivedpasswords to access selected tags, start discussions by entering newcomments, and/or reply to comments by other users. In some examples, theeach browser/content processing component 122 and 124 is structured toprocess content received from the server 102 to match client informationwith tags included in the content, to selectively present portions ofthe content to users. Some examples of techniques for interacting withcontent by the clients are illustrated and described with respect toFIGS. 6, 7, and 8.

FIG. 2 illustrates a computer system 200 suitable for implementing oneor more computing devices of a computing system (e.g., computing system100). In various implementations, computer system 200 may provide acomputing device, such as a smart or mobile phone, a computing tablet, adesktop computer, laptop, wearable device, rack mount server, or othercomputing device.

Computer system 200 may include a bus 202 or other communicationmechanisms for communicating information data, signals, and informationbetween various components of computer system 200. Components include anI/O component 204 that processes a user action, such as selecting keysfrom a keypad/keyboard, selecting one or more buttons, links, actuatableelements, etc., and sends a corresponding signal to bus 202. I/Ocomponent 204 may also include an output component, such as a display206 and a cursor control 208 (such as a keyboard, keypad, mouse, touchscreen, etc.). An optional audio I/O component 210 may also be includedto allow a user to hear audio and/or use voice for inputting informationby converting audio signals.

A network interface 212 transmits and receives signals between computersystem 200 and other devices, such as user devices, data storageservers, payment provider servers, and/or other computing devices via acommunications link 214 and a network 216 (e.g., such as a LAN, WLAN,PTSN, and/or various other wired or wireless networks, includingtelecommunications, mobile, and cellular phone networks).

The processor 218 represents one or more general-purpose processingdevices such as a microprocessor, central processing unit, or the like.More particularly, processor 218 may be a complex instruction setcomputing (CISC) microprocessor, reduced instruction set computing(RISC) microprocessor, very long instruction word (VLIW) microprocessor,or a processor implementing other instruction sets or processorsimplementing a combination of instruction sets. Processor 108 may alsobe one or more special-purpose processing devices such as an applicationspecific integrated circuit (ASIC), a field programmable gate array(FPGA), a digital signal processor (DSP), network processor, or thelike. Processor 218 is configured to execute instructions for performingthe operations and steps discussed herein.

Components of computer system 200 also include a main memory 220 (e.g.,read-only memory (ROM), flash memory, dynamic random access memory(DRAM) such as synchronous DRAM (SDRAM), double data rate (DDR SDRAM),or DRAM (RDRAM), and so forth), a static memory 222 (e.g., flash memory,static random access memory (SRAM), and so forth), and a data storagedevice 224 (e.g., a disk drive).

Computer system 200 performs specific operations by processor 218 andother components by executing one or more sequences of instructionscontained in main memory 220. Logic may be encoded in a computerreadable medium, which may refer to any medium that participates inproviding instructions to processor 218 for execution. Such a medium maytake many forms, including but not limited to, non-volatile media,volatile media, and/or transmission media. In various implementations,non-volatile media includes optical or magnetic disks, volatile mediaincludes dynamic memory, such as main memory 220, and transmission mediabetween the components includes coaxial cables, copper wire, and fiberoptics, including wires that comprise bus 202. In one embodiment, thelogic is encoded in a non-transitory machine-readable medium. In oneexample, transmission media may take the form of acoustic or lightwaves, such as those generated during radio wave, optical, and infrareddata communications.

Some common forms of computer readable media include, for example,floppy disk, flexible disk, hard disk, magnetic tape, any other magneticmedium, CD-ROM, any other optical medium, punch cards, paper tape, anyother physical medium with patterns of holes, RAM, PROM, EPROM,FLASH-EPROM, any other memory chip or cartridge, or any other mediumfrom which a computer is adapted to read.

In various embodiments of the present disclosure, execution ofinstruction sequences to practice the present disclosure may beperformed by computer system 200. In various other embodiments of thepresent disclosure, a plurality of computer systems 200 coupled bycommunication link 214 to the network 216 may perform instructionsequences to practice the present disclosure in coordination with oneanother. Modules described herein may be embodied in one or morecomputer readable media or be in communication with one or moreprocessors to execute or process the steps described herein.

FIG. 3A illustrates a data structure 300 for associating datacorresponding to comments, tags, and passwords, in accordance withvarious examples of the present disclosure.

In the present example, the data structure 300 is structured as a tablethat includes a plurality of rows and columns that associate data withother data. In some examples, the data structure 300 is included as atable of a relational database. In other examples, the data structure300 may include one or more tables that each include one or morecomments, tags, and/or passwords.

In the present example, the data structure 300 is structured to includea comment column 308 that is structured to store comments. Comments mayinclude, for example, text data or other data submitted by users forposting online (e.g., to websites, social media sites, and so forth).The data structure 300 is structured to include a tag column 310 and apassword column 312. The tag column 310 is structured to include tags,which may be groups, keyword descriptions corresponding to content, orother categorizations. The password column 312 is structured to includepasswords. In some examples, the comments, tags, and/or passwords arestructured as alphanumeric strings, which may also include specialcharacters.

In the present example, the data structure 300 is structured to includea first row 302, a second row 304, and a third row 306. The rows 302,304, and 306 are structured to associated data corresponding to thecolumns 308, 310, and 312. For example, Comment 1 is associated with Tag1 and Password 1 by being included in a same row 302. Similarly, Comment2 is associated with Tag 2 and Password 2 by being included in a samerow 304; Comment 3 is associated with Tag 3 and Password 3 by beingincluded in a same row 306.

In other examples, various table data structure configurations may beused to store the comment, tag, and/or password data. For example, insome configurations, comments, tags, and/or passwords may be associatedby being included in a same column. In other examples, entries in atable may be associated with entries in one or more other tables.

FIG. 3B illustrates a data structure 314 for associating datacorresponding to comments, tags, and passwords, in accordance withvarious examples of the present disclosure.

In the present example, the data structure 314 is structured to includea plurality of objects, which in some examples represent instances ofclasses.

In the present example, a first comment object 316 is associated with afirst metadata object 320, which includes tag and password metadatacorresponding to the first comment object 316. In some examples, thefirst comment object 316 is structured to include a text variable thatstores text corresponding to a comment submitted by a client. In someexamples, the first metadata object 320 is structured to include a textvariable that stores text corresponding to a tag and a password that aresubmitted by the client. While in this example the tag and password areillustrated as a metadata object 320, in other examples the tag andpassword may be structured as separate objects.

In the present example, a second comment object 318 is associated withthe first metadata object 320. In some examples, the second commentobject 318 is structured to include text corresponding to a reply to thetext included in the first comment object 316. Accordingly, the secondcomment object 318 may be associated with a same metadata object 320 asthe first comment object 316.

In the present example, a third comment object 322 is associated with asecond metadata object 324. In some examples, the third comment object322 is structured to include a text variable that stores textcorresponding to a comment submitted by a client. In some examples, thesecond metadata object 324 is structured to include a text variable thatstores text corresponding to a tag and a password that are submitted bythe client. While in this example the tag and password are illustratedas a metadata object 324, in other examples the tag and password may bestructured as separate objects.

In the present example, the comment objects 316, 318, and 322 may beassociated with the tag and password data included in the metadataobjects 320 and 324 in various ways. For example, comment objects may bestructured to include pointers or other references to metadata objects.In another example, comment objects may include variables correspondingto metadata objects, tags, and/or passwords.

FIG. 4 illustrates a data structure 400 for associating datacorresponding to comments, tags, and passwords, in accordance withvarious examples of the present disclosure.

In the present example, the data structure 400 is structured as a flatfile. The data included in the file is structured by includingdelimiters, which in the present example are hash symbols and linebreaks, but which may include other symbols in other examples.

In the present example, a first entry 402 in the data structure 400includes a first text portion “Comment1##Tag1##Password1.” Comment1represents text of a first comment, Tag1 represents text of a first tagcorresponding to the first comment, and Password1 represents a firstpassword corresponding to the first comment and the first tag. Asillustrated, the first comment, first tag, and first password areassociated via a line break (e.g., the first comment, first tag, andfirst password are included in a same line). Further, the hash symbols“##” may be structured to separate the line into the first comment,first tag, and first password, such that a parser may identify the firstcomment, first tag, and first password.

Similarly, the data structure 400 includes a second entry 404 thatincludes a similar structure as the first entry 402. The second entry404 includes a second comment, which is associated with the first tag,and the first password. With respect to the third entry 406, additionaltag (e.g., “Tag2,Tag1”) and password (e.g., “Password2,Password1”)information may be specified to associate Comment3 with two tags and twopasswords. In this example, a comma delimiter is included to separatethe plurality of tags and the plurality of passwords corresponding to“Comment 3.” The third entry 406 provides an example structure forassociating comments with a plurality of tags and passwords.

While the entries illustrate a particular ordering of comment, tag, andpassword information, other examples may include other orderings and/orother delimiters that separate the comment, tag, and/or password data.

FIG. 5 illustrates a data structure 500 for categorizing content, inaccordance with various examples of the present disclosure.

In the present example, the data structure 500 is structured as adocument that includes markup to provide structure to text included inthe document. Markup includes keywords and/or special characters thatmay be parsed from the document. In some examples, text from thedocument is parsed and matched to one or more symbols and/or keywords todetect the markup.

In the present example, the markup provides tags corresponding toportions of the document. The document includes a tag “Chicago” that isprovided by an opening tag 502 and a closing tag 506. Accordingly, thefirst content portion 504 that is within the opening tag 502 and tag 506is tagged “Chicago.” Similarly, the document includes a tag “Dallas”that is provided by an opening tag 508 and a closing tag 512.Accordingly, the second content portion 510 that is within the openingtag 508 and closing tag 512 is tagged “Dallas.”

While in the present example the tags correspond to geographic location,in other examples there may be a variety of tags provided to categorizecontent portions. In some examples, the tags correspond to contentgenres or types. In some examples, content portions that are includedwithin a same file or set of files may be referred to as contentportions that are packaged into content payload. For example, the datastructure 500 may be a content payload that includes the first contentportion 504 and the second content portion 510 that are packaged into asame document/file. In the present example, the opening tag 502, theclosing tag 506, and the first content portion 504 may be referred to asa first content portion. The opening tag 508, second content portion510, and the closing tag 512 may be referred to as a second contentportion.

FIG. 6 illustrates categorizing of content, in accordance with variousexamples of the present disclosure. In some examples, the method 600 isimplemented by one or more processors of the system architecture 100, byexecuting computer-readable instructions to perform the functionsdescribed herein. It is understood that additional steps can be providedbefore, during, and after the steps of method 600, and that some of thesteps described can be replaced or eliminated in other examples of themethod 600.

At action 602, a first comment, a tag, and a password are received at acomputing device, which in the present example is referred to as aserver. In the present example, the server receives the first comment,the tag, and the password from a client device. The server may be, forexample, an online chat/discussion board provider.

In some examples, the first comment, tag, and password are input by auser of a client computing device via a single text entry that isdelimited by special characters. In other words, a user may type in atext string that includes the first comment, a tag, and a password,where the first comment, tag, and password are separated by one or moredelimiters. Delimiters may be special characters, such as hash tags, orother characters/text that are configured by the server to denotedifferent portions of a text string. The server may parse the receivedtext to identify the delimiters and separate the portions of the textentry into the first comment, the tag, and the password. However, inother examples, any of the first comment, tag, and/or password may besent as a separate text string and/or in a separate communication.

At action 604, the server modifies a first data structure to include thefirst comment. For example, the first comment may be a string entry thatis added to a database table, thereby modifying the database table datastructure. In another example, modifying the first data structure maycomprise adding the first comment as a line of a file. In some examples,modifying the first data structure also includes creating the datastructure. For example, creating a data structure may include creating adatabase table, an entry in a database, a new file, a new data object,or creating some other data structure type.

At action 606, the received tag and password are associated with thefirst comment. In some examples, the tag and password are associatedwith the first comment by including the tag and password in a same datastructure as the first comment. For example, the tag and password may beadded to a same line of a document that includes the first comment. Inanother example, the tag and password may be added to a same databaserow. In another example, a tag variable and a password variable of acomment object may be modified to include the tag and password,respectively. These are merely some examples of associations that may beprovided. In other examples, the tag and password may be associated withthe first comment via other techniques.

At action 608, the server receives a second comment corresponding to thetag. The second comment may be received from the client computing devicethat originated the first comment or from another client computingdevice. In some examples, the second comment may explicitly include thetag. For example, the second comment and the tag may be included in asame text string that includes a delimiter to separate the secondcomment and the tag. In another example, the second comment may beinferred by the server to correspond to the tag. For example, the secondcomment may be a reply to the first comment, in which case the servermay infer that the second comment corresponds to the same tag as thefirst comment.

At action 610, the server modifies a second data structure to includethe second comment. For example, the second comment may be a stringentry that is added to a database table, thereby modifying the databasetable data structure. In another example, modifying the second datastructure may include adding the second comment to a file. In someexamples, modifying the second data structure also includes creating thedata structure. For example, creating a data structure may includecreating a database table, an entry in a database, a new file, a newdata object, or creating some other data structure type. In someexamples, the first data structure is a same data structure as thesecond data structure. For example, the first comment and the secondcomment may be included in a same database table or file.

At action 612, the tag and password are associated with the secondcomment. In some examples, the tag and password are associated with thesecond comment by including the tag and password in a same datastructure as the first comment. For example, the tag and password may beadded to a same line of a document that includes the second comment. Inanother example, the tag and password may be added to a same databaserow. In another example, a tag variable and a password variable of acomment object may be modified to include the tag and password,respectively. These are merely some examples of associations that may beprovided. In other examples, the tag and password may be associated viaother techniques.

At action 614, the server determines that an amount of commentscorresponding to the tag reaches a threshold. In some examples, reachinga threshold includes exceeding a preconfigured number of comments. Inother examples, reaching a threshold includes exceeding or being equalto a preconfigured number of comments. In some examples, the thresholdconfigured by a user. In the present example, the amount of commentsincludes a count of the comments that are associated with the tag. Insome examples, the comments corresponding to the tag are dynamicallydetermined, such as by querying one or more comment data structures andincrementing a counter for each located comment that is associated withthe tag. In other examples, there is a counter variable corresponding toeach tag that is incremented with each additional comment posted that isassociated with the tag.

At action 616, access to the comments associated with the tag isrestricted. In some examples, the restricting of the access is providedby requiring the password to access the comments. For example, aselecting of a restricted comment and/or tag may be responded to by theserver providing the client with a password input and/or paymentinterface. Users may be asked to input the password prior to displayingcomments associated with the tag or posting comments associated with thetag. In some examples, the password may be cached client-side and/orserver-side for users that have provided the password, such that theusers may continue to view and post comments associated with the tagwithout being asked to provide the password again.

In some examples, users that have accessed the comments associated withthe tag prior to the threshold being reached may be provided thepassword. For example, a user that posts a comment that is associatedwith the tag and/or replies to a comment that is associated with the tagmay be provided with the password. However, other users who have notposted and/or replied to comments associated with the tag may be unableto view and/or post comments associated with the tag after the thresholdis reached. In some examples, these other users may be directed to a taglisting that shows an amount of comments that are associated with thetag, but may not be able to view the comments themselves. The users maybe provided an option to purchase the password in order to access thecomments associated with the tag.

At action 618, the access to the restricted comments may be provided toclients that provide the password to the server. For example, users ofthe clients may have purchased the password or have been provided thepassword for free based on posting comments associated with the tagprior to the threshold being reached.

FIG. 7 illustrates filtering of tagged content, in accordance withvarious examples of the present disclosure. In some examples, the method700 is implemented by one or more processors of the system architecture100, by executing computer-readable instructions to perform thefunctions described herein. It is understood that additional steps canbe provided before, during, and after the steps of method 700, and thatsome of the steps described can be replaced or eliminated in otherexamples of the method 700.

At action 702, a computing device such as a server receives a query froma client computing device. The query may include a search string thatincludes one or more keywords.

At action 704, the server locates tags corresponding to the query. Insome examples, the locating includes parsing keywords from the query andmatching keywords with one or more tags that are stored in a data store.Tags may be indexed to provide faster response to the search query.Locating may also include matching any wildcard or other specialcharacters that are included in the query.

At action 706, a price is set to obtain the password corresponding toeach tag. In the present example, the price is based upon an amount ofcomments associated with each tag. For example, if an amount of commentsis below a first price threshold, access to the comments associated withthe tag may be free. If the amount of comments is above the first pricethreshold, a preconfigured price may be set to access the commentsassociated with the tag. In some examples, there may be additional pricethresholds at which the price is further increased as the amount ofcomments increases. For example, exceeding a first threshold may resultin setting a first price and exceeding a second threshold that is higherthan the first threshold may result in setting second price that ishigher than the first price.

At action 708, tags that are located corresponding to the query may besent from the server to the client and presented on a display of theclient computing device. An indicator of an amount of comments that areassociated with the tag may be displayed such that a user may determinethe popularity of each located tag. For example, the indicator may be anumber or icon that represents the amount of comments corresponding tothe tag. In the present example, an indicator such as a value or iconcorresponding to the price is also sent to the client such that theclient may also present the price for accessing the comments associatedwith the tag.

At action 710, the server receives a selection of a tag from the client.If there is a price for accessing the tag, the server may provide theclient with a payment request or direct the client to a paymentprocessor. The server may receive a payment or an indicator that apayment was triggered, processed, and/or received. The payment indicatormay be provided by a payment processing component of the server or fromanother computing device. For example, the payment indicator may includean indication that the client submitted a credit card payment and thatthe payment was authorized by a credit card company. In other examples,the payment indicator may include an indication that a payment wasprocessed. In yet other examples, the payment indicator may include anindication that an account corresponding to the client has sufficientfunds to cover the price. In yet other examples, the payment indicatormay include a selection that is received that identifies that a user hasagreed to pay the price for accessing the tag.

At action 712, the server provides the client with the passwordcorresponding to the tag. In some examples, the password is transmittedto the client and the client inputs the password. In other examples, theserver may identify the client as authorized to access the commentsassociated with the tag, or automatically input the password on theclients behalf, in order to provide access to the comments withouttransmitting the password to the client. Accordingly, once the client isprovided the password, the client may access the comments with which thepassword is associated.

FIG. 8 illustrates categorizing and filtering of content, in accordancewith various examples of the present disclosure. In some examples, themethod 800 is implemented by one or more processors of the systemarchitecture 100, by executing computer-readable instructions to performthe functions described herein. It is understood that additional stepscan be provided before, during, and after the steps of method 800, andthat some of the steps described can be replaced or eliminated in otherexamples of the method 800.

At action 802, a computing device, such as a server, associates a firsttag with a first content data structure. The first content datastructure may be, for example, a document or other file, a databasetable, portion of a file, or other data object that includes content. Insome examples, the content included in the first content data structureis a comment, an article, a review, an advertisement, or otherinformation. The first tag may be associated with the content includedin the first content data structure in various ways. For example, thefirst tag may be inserted as markup language into a document thatincludes the content of the first content data structure. Accordingly,the first content data structure may comprise a portion of a file thatincludes the content and the first tag.

At action 804, a computing device, such as a server, associates a secondtag with a second content data structure. The second content datastructure may be, for example, a document or other file, a databasetable, portion of a file, or other data object that includes content. Insome examples, the content included in the second content data structureis a comment, an article, a review, an advertisement, or otherinformation. The content included in the second content data structuremay be different than the content included in the first data structure.The second tag may be associated with the content included in the secondcontent data structure in various ways. For example, the second tag maybe inserted as markup language into a document that includes the contentof the second content data structure. Accordingly, the second contentdata structure may comprise a portion of a file that includes thecontent and the second tag.

At action 806, the first content data structure and the second contentdata structure are packaged into a content payload. In some examples,the packaging includes compressing the first content data structure andthe second data structure into a same compressed file. In otherexamples, the content of the first content data structure, the firsttag, the content of the second content data structure, and the secondtag may be included in a same document or other file type.

At action 808, the content payload is transmitted from the server to atleast one client device.

At action 810, at the client device, the content payload is parsed toidentify the first tag and the second tag. The parsing may be performedby a browser or other client-side application.

At action 812, the client compares client information with the parsedfirst tag and second tag to determine matches. For example, the clientinformation may include location information, such as a locationidentifier, corresponding to the client or other preference informationcorresponding to the client. In some examples, the location is ageographic location or an internet address. In other examples, theclient information includes one or more client preferences that areprovided by one or more users of the client. For example, clientpreferences may indicate particular genres of content, specified by agenre identifier, in which a user is interested. The client informationmay be structured as one or more keywords that may be matched to thetags.

In some examples, the client information is dynamically determined, suchas by dynamically retrieving an internet address or other locationinformation of the client. In other examples, the client information maybe stored in a local cache, browser cookie, or other data storagestructure that is accessible to the client. In some examples, the clientinformation is input by one or more users. In other examples, the clientinformation is determined based on monitoring computing activity, suchas by monitoring internet browsing activities. Accordingly, the clientinformation may be provided by retrieving the client information from adata structure on the client or by interactively having a user input theclient information at a time when the content payload is processed.

At action 814, for each tag that matches the client information, contentassociated with the tag is presented on a display of the client. Forexample, client information may include a keyword that identifies afirst location. The keyword may match the first tag, but not match thesecond tag. Accordingly, the content corresponding to the first contentdata structure may be presented on the client device, and the contentcorresponding to the second content data structure may not be presentedon the client device. Thus, the content payload may be transmitted to aplurality of clients, which may present particular content from thecontent payload based on client information, such as location and/orother preference information. In other words, a first client may presentto a user a first content portion from the content payload, and a secondclient may present to a user a second content portion from the contentpayload, thereby customizing the presentation of the content payload oneach client device.

In other examples, as discussed further with respect to FIG. 7, thecontent and/or tags may be associated with passwords, which may bematched to passwords provided by client devices to access the content.Further, a computing device, such as a server, may manage access to thepasswords and provide the passwords as discussed with respect to FIG. 7.

In the foregoing description, numerous details are set forth. It will beapparent, however, to one of ordinary skill in the art having thebenefit of this disclosure, that the present disclosure may be practicedwithout these specific details. In some instances, well-known structuresand devices are shown in block diagram form, rather than in detail, inorder to avoid obscuring the present disclosure.

Some portions of the detailed description have been presented in termsof algorithms and symbolic representations of operations on data bitswithin a computer memory. An algorithm is here, and generally, conceivedto be a self-consistent sequence of steps leading to a desired result.The steps are those requiring physical manipulations of physicalquantities. Usually, though not necessarily, these quantities take theform of electrical or magnetic signals capable of being stored,transferred, combined, compared, and otherwise manipulated. It hasproven convenient at times, for reasons of common usage, to refer tothese signals as bits, values, elements, symbols, characters, terms,numbers, or the like.

It should be borne in mind, however, that all of these and similar termsare to be associated with the appropriate physical quantities and aremerely convenient labels applied to these quantities. Unlessspecifically stated otherwise as apparent from the following discussion,it is appreciated that throughout the description, discussions utilizingterms such as “computing”, “comparing”, “applying”, “creating”,“ranking,” “classifying,” or the like, refer to the actions andprocesses of a computer system, or similar electronic computing device,that manipulates and transforms data represented as physical (e.g.,electronic) quantities within the computer system's registers andmemories into other data similarly represented as physical quantitieswithin the computer system memories or registers or other suchinformation storage, transmission or display devices.

Certain examples of the present disclosure also relate to an apparatusfor performing the operations herein. This apparatus may be constructedfor the intended purposes, or it may comprise a general-purpose computerselectively activated or reconfigured by a computer program stored inthe computer. Such a computer program may be stored in a computerreadable storage medium, such as, but not limited to, any type of diskincluding floppy disks, optical disks, CD-ROMs, and magnetic-opticaldisks, read-only memories (ROMs), random access memories (RAMs), EPROMs,EEPROMs, magnetic or optical cards, or any type of media suitable forstoring electronic instructions.

It is to be understood that the above description is intended to beillustrative, and not restrictive. Many other examples will be apparentto those of skill in the art upon reading and understanding the abovedescription. The scope of the disclosure should, therefore, bedetermined with reference to the appended claims, along with the fullscope of equivalents to which such claims are entitled.

What is claimed is:
 1. A categorizing and filtering system, comprising:a non-transitory memory storing one or more data structures; and one ormore hardware processors coupled to the non-transitory memory andconfigured to read instructions from the non-transitory memory to causethe system to perform operations comprising: modifying the one or moredata structures, the modifying including storing a comment in the one ormore data structures; associating, by the one or more data structures,the comment with a tag and a password; determining that a thresholdamount of comments are associated with the tag; and based on thedetermining, restricting access to the comment.
 2. The system of claim1, wherein the operations further comprise: receiving, from a client, astring that includes the comment, the tag, and the password; andparsing, from the string, the comment, the tag, and the password.
 3. Thesystem of claim 1, wherein restricting access comprises: requesting thata client provide the password to access the comment.
 4. The system ofclaim 1, wherein the operations further comprise: transmitting thecomment to a client that provides the password.
 5. The system of claim1, wherein modifying the one or more data structures comprises: creatingthe one or more data structures; and inserting data into the one or moredata structures.
 6. The system of claim 1, wherein the operationsfurther comprise: receiving a query that includes one or more keywords;locating at least one tag corresponding to the one or more keywords, theat least one tag including the tag; transmitting, to a client, the tag,an amount of comments indicator corresponding to the tag, and a priceindicator corresponding the tag; receiving a payment indicatorcorresponding to the client and the tag; and after receiving the paymentindicator, providing the password to the client.
 7. The system of claim1, wherein the operations further comprise: determining that an amountof comments corresponding to the tag reaches a price threshold; andincreasing a purchase price corresponding to access of the tag.
 8. Amethod for categorizing and filtering content, the method comprising:modifying one or more data structures, the modifying including storing acomment in the one or more data structures; receiving a tag and apassword corresponding to the comment; associating, by the one or moredata structures, the comment with the tag and the password; determiningthat a threshold amount of comments are associated with the tag; andbased on the determining, restricting access to the comments that areassociated with the tag.
 9. The method of claim 8, further comprising:receiving, from a client, a string that includes the comment, the tag,and the password; and parsing the comment, the tag, and the passwordfrom the string.
 10. The method of claim 8, wherein restricting accesscomprises: blocking access to the comments from a client that does notprovide the password.
 11. The method of claim 8, further comprising:transmitting the comments to a client that provides the password. 12.The method of claim 8, wherein modifying the one or more data structurescomprises: inserting data into the one or more data structures.
 13. Themethod of claim 8, further comprising: receiving a query that includesone or more keywords; locating at least one tag corresponding to the oneor more keywords, the at least one tag including the tag; transmitting,to a client, the tag, an amount of comments indicator corresponding tothe tag, and a price indicator corresponding the tag; receiving anindicator that the client has paid for access to the tag; and afterreceiving the indicator, providing the password to a client.
 14. Themethod of claim 8, further comprising: determining that an amount ofcomments corresponding to the tag reaches a price threshold; andincreasing a purchase price to access the tag.
 15. A non-transitorymachine-readable medium having stored thereon machine-readableinstructions executable to cause a machine to perform operationscomprising: modifying one or more data structures, the modifyingincluding storing a comment in the one or more data structures;receiving a tag and a password corresponding to the comment;associating, by the one or more data structures, the comment with thetag and the password; determining that a threshold amount of commentsare associated with the tag; and based on the determining, restrictingaccess to the comments that are associated with the tag.
 16. Thenon-transitory machine-readable medium of claim 15, wherein theoperations further comprise: receiving, from a client, a string thatincludes the comment, the tag, and the password; and parsing, from thestring, the comment, the tag, and the password.
 17. The non-transitorymachine-readable medium of claim 15, wherein the restricting accesscomprises: requesting that a client provide the password to access thecomments.
 18. The non-transitory machine-readable medium of claim 15,wherein the operations further comprise: transmitting the comments to aclient that provides the password.
 19. The non-transitorymachine-readable medium of claim 15, wherein modifying the one or moredata structures comprises: creating the one or more data structures andinserting data into the one or more data structures.
 20. Thenon-transitory machine-readable medium of claim 15, wherein theoperations further comprise: receiving a query that includes one or morekeywords; locating at least one tag corresponding to the one or morekeywords, the at least one tag including the tag; transmitting, to aclient, the tag, an amount of comments indicator corresponding to thetag, and a price indicator corresponding the tag; receiving, from theclient, a payment indicator corresponding to the tag; and afterreceiving the payment indicator, providing the password to the client.